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pro vyhledávání: '"Paul Wu"'
Publikováno v:
Stats, Vol 4, Iss 3, Pp 762-775 (2021)
Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures. We obtain functional data that are not only subject to noise along their y axis b
Externí odkaz:
https://doaj.org/article/e3a88b10122c422084fa5f99c3c651af
Publikováno v:
Stats
Volume 4
Issue 3
Pages 45-775
Stats, Vol 4, Iss 45, Pp 762-775 (2021)
Volume 4
Issue 3
Pages 45-775
Stats, Vol 4, Iss 45, Pp 762-775 (2021)
Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures. We obtain functional data that are not only subject to noise along their y axis b